PhD in Computer Vision and Machine Learning for Intelligent Vehicles

Department/faculty: Mechanical, Maritime and Materials Engineering
Level: Master degree
Working hours: 38 hours per week
Contract: 4 years
Salary: €2222 to €2840 per month gross

Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

Job description

The Intelligent Vehicles group at the TU Delft (the Netherlands) invites applicants for fully funded PhD Student positions in Computer Vision (CV), and Machine Learning (ML). The openings deal with pedestrian/cyclist safety for highly automated vehicles and are part of larger collaborative efforts at Dutch and EU level. The intended research addresses problems within the spectrum of object detection, pose estimation, motion modelling, tracking, and intent recognition. Deep Learning is a promising research avenue but other ML methodologies might apply as well.


We are seeking PhD's with an interest in performing cutting edge research in an active and exciting research area (cf. self-driving cars by Google, Apple and the automotive industry). Prospective applicants should have a strong academic record with solid background in computer science or software development, and experience in CV and ML. Good programming skills are expected, preferably in C++ and MATLAB/Python. Knowledge of deep-learning frameworks (TensorFlow/Torch/Caffe) and OpenCV/ROS/CUDA is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. All applicant(s) are expected to be able to act independently as well as to collaborate effectively with members of a larger team. Good English skills are required.

Conditions of employment

The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit for more information.

Information and application

For more information about this position, please contact J.F.P. (Julian) Kooij, e-mail:
To apply, please prepare a letter of motivation explaining why you are the right candidate, a detailed CV, a complete record of Bachelor and Master courses (including grades), your Master’s Thesis, a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), your publications, and the names and contact addresses of two references. All these items should be combined in one PDF document.
Applications should be submitted by email at the earliest convenience to When applying for this position, please refer to vacancy number 3ME17-39 in the subject of the email.

Enquiries from agencies are not appreciated.


Mechanical, Maritime and Materials Engineering
Master degree
Working hours
4 years
€2222 to €2840 per month gross

Closing date
Aug. 31, 2017
Vacancy nr.


For more information about this job, please contact Julian Kooij, Assistant Professor.

T +31 (0)15-2789271

For more information about the application procedure, please contact Nathalie van Benthem/HRM.